def facesFactory(image: ImageForRedetection) -> List[Face]:
faces = [
Face(image.image.coreImage,
DetectionFloat(bBox.coreRectF, 1.0))
for bBox in image.bBoxes
]
return faces
def _createCoreFaces(image: ImageForRedetection) -> List[Face]:
"""
Create core faces for redetection
Args:
image: image and bounding boxes for redetection
Returns:
Face object list. one object for one bbox
"""
return [Face(image.image.coreImage, DetectionFloat(bBox.coreRectF, 1.0)) for bBox in image.bBoxes]
def test_estimate_head_pose_by_image_and_bounding_box_empty_bounding_box(self):
"""
Estimating head pose by image and empty bounding box
"""
fakeDetection = DetectionFloat(RectFloat(0.0, 0.0, 0.0, 0.0), 0.9)
bBox = BoundingBox(fakeDetection)
with pytest.raises(LunaSDKException) as exceptionInfo:
TestHeadPose.headPoseEstimator.estimateByBoundingBox(bBox, self.image)
self.assertLunaVlError(exceptionInfo, LunaVLError.InvalidDetection)